Living through fascism: mid-twentieth century politics of film and sculpture; Films on sculpture: conveying phenomenology; Sculpting film sets: meanings of modern sculpture in film; Expressions of modernity across mediums: technology, industry and anxiety. Reconnecting with nature: materiality and representation in film and sculpture. Rewriting the canon: narratives of marginalization in modern sculpture and film.
The first step of any research is: identify your topic. Read extensively about your topic, trying to understand the position of different scholars in that specific discourse, as well as the main aspects discussed. Your paper should cite at least 7 sources (primary and secondary) which will show the depth of your research. Take notes while you view the primary and secondary sources included in your bibliography. to describe the status of previous scholarship on your topic. Develop your own thesis. Considered the position of other writers, what is your own position? Do you agree/disagree with the interpretation of some of them? Can you contribute to a certain discussion by adding arguments that could reinforce another scholars’ perspective? Or, on the contrary, do you disagree with a scholar’s theory? What aspects have been underestimated by existing discourses? Once you have developed your thesis, you must put it to the test. Take a distance and ask yourself: WHY is your thesis convincing and HOW does your argument work?
ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl>